Article
Exploring Compliance Pathways For Intellectual Property In Large Model Training Data
As artificial intelligence transitions from discriminative to generative capabilities through large model technologies, the legal frameworks governing intellectual property and data protection face unprecedented challenges. This analysis examines the emerging legal boundaries around AI training data through recent landmark cases in the United States, Germany, and China, exploring the tensions between copyright law, personal information protection, and trade secret regulations in the context of massive-scale
Global
IP